Towards Czech Answer Type Analysis

D 2018

Towards Czech Answer Type Analysis

KUŠNIRÁKOVÁ, Daša and Marek MEDVEĎ

Basic information

Original name

Towards Czech Answer Type Analysis

Authors

KUŠNIRÁKOVÁ, Daša (703 Slovakia, belonging to the institution) and Marek MEDVEĎ (703 Slovakia, guarantor, belonging to the institution)

Edition

Brno, Proceedings of the Twelfth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2018, p. 41-51, 11 pp. 2018

Publisher

Tribun EU

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/00216224:14330/18:00101540

Organization unit

Faculty of Informatics

ISBN

978-80-263-1517-9

ISSN

UT WoS

000612420300006

Keywords in English

question answering; question classification; answer classifica-tion; Czech; Simple Question Answering Database; SQAD

Abstract

V originále

In this paper, we introduce two answer type detection systems for Czech language. Based on the input question, the goal of these tools is to recognise the question type and extract an appropriate answer type. Except for the same goal, these systems are completely different. The first one is a rule based system utilising Czech Wordnet for hypernym detection. The second one uses a machine learning approach in form of a neural network. We present architectures of these two systems and offer a detailed evaluation on more than 8,500 question-answer pairs using the SQAD v2.1 benchmark dataset.

Links

GA18-23891S, research and development project

Name: Hyperintensionální usuzování nad texty přirozeného jazyka

Investor: Czech Science Foundation

Citovat

KUŠNIRÁKOVÁ, Daša and Marek MEDVEĎ. Towards Czech Answer Type Analysis. In Aleš Horák, Pavel Rychlý and Adam Rambousek. Proceedings of the Twelfth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2018. Brno: Tribun EU, 2018, p. 41-51. ISBN 978-80-263-1517-9.

@inproceedings{1484738,
   author = {Kušniráková, Daša and Medveď, Marek},
   address = {Brno},
   booktitle = {Proceedings of the Twelfth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2018},
   editor = {Aleš Horák, Pavel Rychlý and Adam Rambousek},
   keywords = {question answering; question classification; answer classifica-tion; Czech; Simple Question Answering Database; SQAD},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Brno},
   isbn = {978-80-263-1517-9},
   pages = {41-51},
   publisher = {Tribun EU},
   title = {Towards Czech Answer Type Analysis},
   url = {https://nlp.fi.muni.cz/raslan/2018/paper13-Kusnirakova_Medved.pdf},
   year = {2018}
}

TY  - JOUR
ID  - 1484738
AU  - Kušniráková, Daša - Medveď, Marek
PY  - 2018
TI  - Towards Czech Answer Type Analysis
PB  - Tribun EU
CY  - Brno
SN  - 9788026315179
KW  - question answering
KW  - question classification
KW  - answer classifica-tion
KW  - Czech
KW  - Simple Question Answering Database
KW  - SQAD
UR  - https://nlp.fi.muni.cz/raslan/2018/paper13-Kusnirakova_Medved.pdf
N2  - In this paper, we introduce two answer type detection systems for Czech language. Based on the input question, the goal of these tools is to recognise the question type and extract an appropriate answer type. Except for the same goal, these systems are completely different. The first one is a rule based system utilising Czech Wordnet for hypernym detection. The second one uses a machine learning approach in form of a neural network. We present architectures of these two systems and offer a detailed evaluation on more than 8,500 question-answer pairs using the SQAD v2.1 benchmark dataset.
ER  -

KUŠNIRÁKOVÁ, Daša and Marek MEDVEĎ. Towards Czech Answer Type Analysis. In Aleš Horák, Pavel Rychlý and Adam Rambousek. \textit{Proceedings of the Twelfth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2018}. Brno: Tribun EU, 2018, p.~41-51. ISBN~978-80-263-1517-9.

Detailed Information on Publication Record